Speed control of separately excited dc motor using artificial intelligent approach

This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed to estimate of motor speed and the other is...

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Main Author:	Bernard, Albinus
Format:	Thesis
Language:	English English
Published:	2013
Subjects:	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
Online Access:	http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf
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id	my-uthm-ep.1886
record_format	uketd_dc
spelling	my-uthm-ep.18862021-10-12T04:26:01Z Speed control of separately excited dc motor using artificial intelligent approach 2013-01 Bernard, Albinus TK2000-2891 Dynamoelectric machinery and auxiliaries. Including generators, motors, transformers This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed to estimate of motor speed and the other is which to generate a control signal for a converter. The separately excited dc motor has some advantages compare to the others type of motors and there are some special qualities that have in ANNs and because of that, ANNs can be trained to display the nonlinear relationship that the conventional tools could not implemented such as proportional-integral-differential (PID) controller. A neural network controller with learning technique based on back propagation algorithm is developed. These two neural are training by Levenberg�Marquardt. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results are presented to demonstrate the effectiveness and the proposed of this neural network controller produce significant improvement control performance and advantages of the control system DC motor with ANNs in comparison to the conventional controller without using ANNs. 2013-01 Thesis http://eprints.uthm.edu.my/1886/ http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf text en public http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English
topic	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers
spellingShingle	TK2000-2891 Dynamoelectric machinery and auxiliaries Including generators, motors, transformers Bernard, Albinus Speed control of separately excited dc motor using artificial intelligent approach
description	This paper presents the ability of Artificial Intelligent Neural Network ANNs for the separately excited dc motor drives. The mathematical model of the motor and neural network algorithm is derived. The controller consists two parts which is designed to estimate of motor speed and the other is which to generate a control signal for a converter. The separately excited dc motor has some advantages compare to the others type of motors and there are some special qualities that have in ANNs and because of that, ANNs can be trained to display the nonlinear relationship that the conventional tools could not implemented such as proportional-integral-differential (PID) controller. A neural network controller with learning technique based on back propagation algorithm is developed. These two neural are training by Levenberg�Marquardt. The effectiveness of the proposed method is verified by develop simulation model in MATLAB-Simulink program. The simulation results are presented to demonstrate the effectiveness and the proposed of this neural network controller produce significant improvement control performance and advantages of the control system DC motor with ANNs in comparison to the conventional controller without using ANNs.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Bernard, Albinus
author_facet	Bernard, Albinus
author_sort	Bernard, Albinus
title	Speed control of separately excited dc motor using artificial intelligent approach
title_short	Speed control of separately excited dc motor using artificial intelligent approach
title_full	Speed control of separately excited dc motor using artificial intelligent approach
title_fullStr	Speed control of separately excited dc motor using artificial intelligent approach
title_full_unstemmed	Speed control of separately excited dc motor using artificial intelligent approach
title_sort	speed control of separately excited dc motor using artificial intelligent approach
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2013
url	http://eprints.uthm.edu.my/1886/1/24p%20ALBINUS%20BERNARD.pdf http://eprints.uthm.edu.my/1886/2/ALBINUS%20BERNARD%20WATERMARK.pdf
_version_	1747830874328530944

Speed control of separately excited dc motor using artificial intelligent approach

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